Age, Period and Cohort Effects: Statistical Analysis and the Identification Problem

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Andrew Bell (University of Sheffield, UK)

Age, Period and Cohort Effects

Statistical Analysis and the Identification Problem

Andrew Bell (University of Sheffield, UK)

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English

Routledge
06 November 2020

Research methods: general; Psychological theory & schools of thought; Psychological methodology; Probability & statistics

Age, Period and Cohort Effects: Statistical Analysis and the Identification Problem gives a number of perspectives from top methodologists and applied researchers on the best ways to attempt to answer Age–Period–Cohort related questions about society.

Age–Period–Cohort (APC) analysis is a fundamental topic for any quantitative social scientist studying individuals over time. At the same time, it is also one of the most misunderstood and underestimated topics in quantitative methods. As such, this book is key reference material for researchers wanting to know how to deal with APC issues appropriately in their statistical modelling. It deals with the identification problem caused by the co-linearity of the three variables, considers why some currently used methods are problematic and suggests ideas for what applied researchers interested in APC analysis should do.

Whilst the perspectives are varied, the book provides a unified view of the subject in a reader-friendly way that will be accessible to social scientists with a moderate level of quantitative understanding, across the social and health sciences.

Edited by: Andrew Bell (University of Sheffield UK)
Imprint: Routledge
Country of Publication: United Kingdom
Dimensions: Height: 234mm, Width: 156mm,
Weight: 453g
ISBN: 9780367174439
ISBN 10: 036717443X
Pages: 238
Publication Date: 06 November 2020
Audience: College/higher education , Professional and scholarly , Primary , Undergraduate
Format: Paperback
Publisher's Status: Active

Andrew Bell is a senior lecturer in Quantitative Social Sciences at the Sheffield Methods Institute, University of Sheffield, UK.

Reviews for Age, Period and Cohort Effects: Statistical Analysis and the Identification Problem

The interplay of lifecycle, history and generation - or age, period and cohort, in humbler terms - is one of the great puzzles in the study of individual and social change. This landmark collection is a major contribution on a topic that reaches from philosophy to social statistics. Don't be overtaken by time: start reading now! - Professor David Voas, University College London, UK Understanding age, period, and cohort effects is a mainstream concern in all the social sciences. But researchers have struggled with how exactly to approach APC issues. This book provides invaluable, up-to-date methodological guidance - Professor Malcolm Fairbrother, Umea University, Sweden The interplay of lifecycle, history and generation - or age, period and cohort, in humbler terms - is one of the great puzzles in the study of individual and social change. This landmark collection is a major contribution on a topic that reaches from philosophy to social statistics. Don't be overtaken by time: start reading now! - Professor David Voas, University College London, UK Understanding age, period, and cohort effects is a mainstream concern in all the social sciences. But researchers have struggled with how exactly to approach 'APC' issues. This book provides invaluable, up-to-date methodological guidance. - Professor Malcolm Fairbrother, Umea University, Sweden